I have a gravity data as 500 m interval and another data set as 1500m interval for the same area. what is the best method to combine them without loosing real information ?
As a vector data, in my opinion you can use PCA for the 500m intervals and DECORRELATION STRETCH (DCS) for 1500m...
Thank you...
Dear Dr. Essam, In my opinion, one has to check the accuracy and quality of the data (both 500m and 1500m) and work on the "clean" data. If both data have been acquired in good conditions and corrected, then you can merge them. In the field, even you have 1 survey, you can not exactly have 500m spacing or 1500m spacing because it depends on accessibility, so you will have a mixture of data with different spacing. Another possibility is to work separately with each dataset, 1500m can help you to see deep structures, however, with 500m it will help you to see shallower structures.
Dear Dr. Essam,
You can use the data with 1500m as a regional field for the data of 500m. Then, you can check their validity.
Regards
Dear Dr. Essam,
Mount the 1500m spacing stations on that of 500m. In areas of no duplicate, you can fill the gaps between the stations of 500m spacing by the new stations of 1500m. Contour the results, and assuming an approximated accuracy for both datasets, you may get good results when looking at the three maps simultaneously.
Dear dr
you are able to use both of them except that you need to merge its and. Be sure that tgis data were acquired in the same time and with the same gizmo
You can merge them considering the data acquired at higher altitude is the regional data of the Local data acquired at lower altitude.
1- Data validation
2- Data merging.
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This is interesting question referred to ground data set managing. The traditional way, the large scale scattered points don't need high accuracy. On the otherwise, the small or local scale survey do. The best way, I think we can always merge the kinds of data in a master data base and proced to a non linear gridding operation.
I assume that your both data set would have gone through same correction factor and on the same datum. You can grid both the data separately and after contouring them separately some broader regional contour trends can be observed. If 1500m spacing data set is giving similar structural trend and smaller grid data set gives regional plus some subtle structural trend also then both grid can be merged in any mapping software like Zmap or in Petrosys and your final output grid will give you both local subtle geological information along with regional information.
For this type of unequal spacing data, and the duplicate spacing in your case ..... I prefer to merge data only in case of equal spacing> in you case .... if you hade to merge the date .....exclude two points in case of 500 m and take the third one >>>> then you data will be have the same spacing 1500 m >>and your data will be all of 1500 m spacing>>>> in this way you will overcome on the extrapolation highly subjective results Regards
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